IMPLEMENTATION MATTERS: SCALE-UP OF AN OLDER ADULT PHYSICAL ACTIVITY MODEL
Bibliographic record
Abstract
To improve the health of populations, effective interventions from research settings must be implemented at scale. Further, physical activity reduces the risk of chronic disease and improves older adult health. Despite this, we know little about delivery of physical activity interventions at scale. Thus, with key partners we developed, implemented and assessed an evidence-based intervention (Choose to Move; CTM) that aimed to increase physical activity and social connectedness of low active older adults across BC. We describe our conceptual framework for implementation and evaluation of CTM at scale and share findings from our mixed methods implementation evaluation, with a focus on delivery partners. At baseline for decision makers at delivery partner organizations (semi-structured interviews); funding, relationships and infrastructure were perceived as key facilitators to delivering CTM at scale. Choose to Move has potential to be delivered more broadly as a feasible, scalable model for community-wide physical activity among older adults.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".